Various economic sectors like municipal, agricultural, industrial, commercial, hydropower, recreation and environment depends on surface water from rivers, lakes, reservoirs, groundwater and flood-water. Due to the increase in population growth rates, increased population density, improved life style, pollution, industrial expansion, spatial distribution of urban and industrial requirements water resources has become infrequent. The growing demand for water cannot be met with the conventional methods; therefore it is very important to focus on water conservation and to allocate water more efficiently and economically. Water demand and supply corresponding to environmental constraints, social preferences, pricing system, and development priorities are the major deciding factors for water allocation. Huge volumes of water data are available and to handle this vast volume of water data, data mining techniques are used. The inputs from water data combined with computational data mining techniques helps in building models capable of optimal allocation of water. The focus of water allocation model is to evaluate the amount of water used by domestic users and to optimally allocate water to them. In this paper residential water demands was considered to design the model for equivalent residential units. An architecture model using differential evolution algorithm has been proposed for optimal allocation of water to different domestic users in particular to Bengaluru city.

Data Mining Optimal Allocation Architecture Model Differential Evolution Algorithm.